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C1000-059 Sample Questions Answers

Questions 4

Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?

Options:

A.

persistent storage

B.

vertical pod autoscaling

C.

horizontal pod autoscaling

D.

node self-registration mode

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Questions 5

Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)

Options:

A.

A @ B

B.

A × B

C.

A * B

D.

np.matprod(A,B)

E.

np.dot(A,B)

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Questions 6

A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:

In this sample, how many cases are false positives and false negatives?

Options:

A.

33 false positives and 81 false negatives

B.

81 false positives and 73 false negatives

C.

73 false positives and 81 false negatives

D.

81 false positives and 33 false negatives

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Questions 7

Which test is applied to determine the relationship between two categorical variables?

Options:

A.

paired t-test

B.

chi squared test

C.

z test

D.

t-test

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Questions 8

Which algorithm is best suited if a client needs full explainability of the machine learning model?

Options:

A.

decision tree

B.

logistic regression

C.

support vector machine (SVM)

D.

recurrent neural network

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Questions 9

Which situation would disqualify a machine learning system from being used for a particular use case?

Options:

A.

The use case requires a 100% likelihood of making a correct/true prediction.

B.

Training and testing data for the model contain outliers.

C.

Data for the machine learning model is available only as static CSV files.

D.

The neural network for the model requires significantly more computing power than a logistic regression model.

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Exam Code: C1000-059
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Last Update: Apr 24, 2024
Questions: 62
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